Level and quality of knowledge using confidence-weighted NRET scoring method in multiple choice test

• Main Authors: Pahayahay, Ma. Rosanna Cisneros-, Pahayahay, Gemar
• Format: text
• Published: Animo Repository 2017
• Subjects: Examinations—Scoring; Observed confidence levels (Statistics); Multiple-choice examinations; Education
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2959
• Institution: De La Salle University

This study proposed a new scoring method with the integration of confidence level into Number Right Elimination Testing (NRET) which is called the Confidence-weighted Number Right Elimination Testing (CWNRET). This paper tried to investigate how comprehensive can CWNRET scoring method determine the level of knowledge of students in Multiple Choice (MC) Test. Results showed that CWNRET scores were equivalent to NRET and Elimination Testing (ET) scores. It also showed that not all students who have Full Knowledge using NRET are the same students who have Full Knowledge in CWNRET. Some of these students only have Partial Knowledge. Not all students who have Full Misconception in NRET also have Full Misconception in CWNRET. Some of them fall between Partial Knowledge and Partial Misconception. Furthermore, findings revealed that students who have mastery usually have Full Knowledge and sometimes Partial Knowledge. Students who have doubt on their responses commonly have Partial Knowledge, misinformed students have Partial Misconception, and students who are uninformed usually lie between Partial Knowledge and Partial Misconception. This shows that CWNRET can detect the quality of knowledge, and a more comprehensive level of knowledge compared to NRET scoring method. Hence, CWNRET scoring method is an effective tool for evaluating the level and quality of knowledge of students accurately in MC test. © 2017 American Scientific Publishers All rights reserved